Granada, Spain, September 20 – 21, 2018


Ultrasound
Ultrasound Decompression for Large Field-of-View Reconstructions
Christian Schulte zu Berge, Mehrdad Salehi, Frederik Bender, and Wolfgang Wein
Interaction and Evaluation
ICG based Augmented-Reality-System for Sentinel Lymph Node Biopsy
Matthias Noll, Werner Noa-Rudolph, Stefan Wesarg, Michael Kraly, Ingo Stoffels, Joachim Klode, Cédric Spass, and Gerrit Spass
A Prototype Holographic Augmented Reality Interface for Image-Guided Prostate Cancer Interventions
Cristina M. Morales Mojica, Jose D. Velazco Garcia, Nikhil V. Navkar, Shidin Balakrishnan, Julien Abinahed, Walid El Ansari, Khalid Al-Rumaihi, Adham Darweesh, Abdulla Al-Ansari, Mohamed Gharib, Mansour Karkoub, Ernst L. Leiss, Ioannis Seimenis, and Nikolaos V. Tsekos
Visual Analytics in Histopathology Diagnostics: a Protocol-Based Approach
Alberto Corvò, Michel A. Westenberg, Marc A. van Driel, and Jarke J.van Wijk
Automatic Generation of Web-Based User Studies to Evaluate Depth Perception in Vascular Surface Visualizations
Monique Meuschke, Noeska N. Smit, Nils Lichtenberg, Bernhard Preim, and Kai Lawonn
A Critical Analysis of the Evaluation Practice in Medical Visualization
Bernhard Preim, Timo Ropinski, and Petra Isenberg
Head and Brain
Annotated Dendrograms for Neurons From the Larval Fruit Fly Brain
Martin Strauch, Volker Hartenstein, Ingrid V. Andrade, Albert Cardona, and Dorit Merhof
A Multilinear Model for Bidirectional Craniofacial Reconstruction
Jascha Achenbach, Robert Brylka, Thomas Gietzen, Katja zum Hebel, Elmar Schömer, Ralf Schulze, Mario Botsch, and Ulrich Schwanecke
Iterative Exploration of Big Brain Network Data
Florian Ganglberger, Nicolas Swoboda, Lisa Frauenstein, Joanna Kaczanowska, Wulf Haubensak, and Katja Bühler
Progressive and Efficient Multi-Resolution Representations for Brain Tractograms
Corentin Mercier, Pietro Gori, Damien Rohmer, Marie-Paule Cani, Tamy Boubekeur, Jean-Marc Thiery, and Isabelle Bloch
Visual Analysis of Evolution of EEG Coherence Networks employing Temporal Multidimensional Scaling
Chengtao Ji, Natasha M. Maurits, and Jos B. T. M. Roerdink
Introducing CNN-Based Mouse Grim Scale Analysis for Fully Automated Image-Based Assessment of Distress in Laboratory Mice
Marcin Kopaczka, Lisa Ernst, Justus Schock, Arne Schneuing, Alexander Guth, Rene Tolba, and Dorit Merhof
Deep Learning
Uncertainty-Guided Semi-Automated Editing of CNN-based Retinal Layer Segmentations in Optical Coherence Tomography
Shekoufeh Gorgi Zadeh, Maximilian W. M. Wintergerst, and Thomas Schultz
Cardiovascular
A Framework for Visual Comparison of 4D PC-MRI Aortic Blood Flow Data
Benjamin Behrendt, Sebastian Ebel, Matthias Gutberlet, and Bernhard Preim
A New Vessel Enhancement Transform on Retinal Blood Vessels Segmentation
Ivo Soares, Miguel Castelo-Branco, and António M. G. Pinheiro
Visual Assessment of Vascular Torsion using Ellipse Fitting
Gabriel Mistelbauer, Martin Zettwitz, Rüdiger Schernthaner, Dominik Fleischmann, Christian Teutsch, and Bernhard Preim
Visual Analysis of Regional Anomalies in Myocardial Motion
Ali Sheharyar, Alexander Ruh, Maria Aristova, Michael Scott, Kelly Jarvis, Mohammed Elbaz, Ryan Dolan, Susanne Schnell, Kal Lin, James Carr, Michael Markl, Othmane Bouhali, and Lars Linsen
Surfaces
Parameterization and Feature Extraction for the Visualization of Tree-like Structures
Nils Lichtenberg and Kai Lawonn
Estimation of Muscle Activity in One-Leg Stance from 3D Surface Deformation
Johannes Metzler, Thomas Neumann, Stefanie Gassel, Jens Friedrich, and Markus Wacker
VisualFlatter - Visual Analysis of Distortions in the Projection of Biomedical Structures
Nicolas Grossmann, Thomas Köppel, Eduard Gröller, and Renata Georgia Raidou
Global and Local Mesh Morphing for Complex Biological Objects from µCT Data
David Knötel, Carola Becker, Gerhard Scholtz, and Daniel Baum
Biology
Improving Perception of Molecular Surface Visualizations by Incorporating Translucency Effects
Pedro Hermosilla, Sebastian Maisch, Pere-Pau Vázquez, and Timo Ropinski
Semantic Screen-Space Occlusion for Multiscale Molecular Visualization
Thomas Bernhard Koch, David Kouril, Tobias Klein, Peter Mindek, and Ivan Viola
Visual Exploratory Analysis for Multiple T-Maze Studies
Fabrizia Bechtold, Rainer Splechtna, and Kresimir Matkovic

Recent Submissions

  • Visual Exploratory Analysis for Multiple T-Maze Studies 

    Bechtold, Fabrizia; Splechtna, Rainer; Matkovic, Kresimir (The Eurographics Association, 2018)
    Evaluation of spatial learning and memory in rodents is commonly carried out using different maze settings such as the Multiple T-Maze. State-of-the-art analysis is primarily based on statistics of quantitative measures ...
  • Semantic Screen-Space Occlusion for Multiscale Molecular Visualization 

    Koch, Thomas Bernhard; Kouril, David; Klein, Tobias; Mindek, Peter; Viola, Ivan (The Eurographics Association, 2018)
    Visual clutter is a major problem in large biological data visualization. It is often addressed through the means of level of detail schemes coupled with an appropriate coloring of the visualized structures. Ambient occlusion ...
  • Improving Perception of Molecular Surface Visualizations by Incorporating Translucency Effects 

    Hermosilla, Pedro; Maisch, Sebastian; Vázquez, Pere-Pau; Ropinski, Timo (The Eurographics Association, 2018)
    Molecular surfaces are a commonly used representation in the analysis of molecular structures as they provide a compact description of the space occupied by a molecule and its accessibility. However, due to the high ...
  • Global and Local Mesh Morphing for Complex Biological Objects from µCT Data 

    Knötel, David; Becker, Carola; Scholtz, Gerhard; Baum, Daniel (The Eurographics Association, 2018)
    We show how biologically coherent mesh models of animals can be created from µCT data to generate artificial yet naturally looking intermediate objects. The whole pipeline of processing algorithms is presented, starting ...
  • VisualFlatter - Visual Analysis of Distortions in the Projection of Biomedical Structures 

    Grossmann, Nicolas; Köppel, Thomas; Gröller, Eduard; Raidou, Renata Georgia (The Eurographics Association, 2018)
    Projections of complex anatomical or biological structures from 3D to 2D are often used by visualization and domain experts to facilitate inspection and understanding. Representing complex structures, such as organs or ...
  • Estimation of Muscle Activity in One-Leg Stance from 3D Surface Deformation 

    Metzler, Johannes; Neumann, Thomas; Gassel, Stefanie; Friedrich, Jens; Wacker, Markus (The Eurographics Association, 2018)
    Muscular activity during human motion is usually quantified by measuring the electrical potential during muscle activation using electromyography (EMG). However, apart from producing electrical activity, muscular contraction ...
  • Parameterization and Feature Extraction for the Visualization of Tree-like Structures 

    Lichtenberg, Nils; Lawonn, Kai (The Eurographics Association, 2018)
    The study and visualization of vascular structures, using 3D models obtained from medical data, is an active field of research. Illustrative visualizations have been applied to this domain in multiple ways. Researchers ...
  • Visual Analysis of Regional Anomalies in Myocardial Motion 

    Sheharyar, Ali; Ruh, Alexander; Aristova, Maria; Scott, Michael; Jarvis, Kelly; Elbaz, Mohammed; Dolan, Ryan; Schnell, Susanne; Lin, Kal; Carr, James; Markl, Michael; Bouhali, Othmane; Linsen, Lars (The Eurographics Association, 2018)
    Regional anomalies in the myocardial motion of the left ventricle (LV) are important biomarkers for several cardiac diseases. Myocardial motion can be captured using a velocity-encoded magnetic resonance imaging method ...
  • Visual Assessment of Vascular Torsion using Ellipse Fitting 

    Mistelbauer, Gabriel; Zettwitz, Martin; Schernthaner, Rüdiger; Fleischmann, Dominik; Teutsch, Christian; Preim, Bernhard (The Eurographics Association, 2018)
    Blood vessels are well explored and researched in medicine and visualization. However, the investigation of vascular torsion has yet been unexplored. In order to understand the development and current state of a single ...
  • A Framework for Visual Comparison of 4D PC-MRI Aortic Blood Flow Data 

    Behrendt, Benjamin; Ebel, Sebastian; Gutberlet, Matthias; Preim, Bernhard (The Eurographics Association, 2018)
    Four-dimensional phase-contrast magnetic resonance imaging (4D PC-MRI) allows for the non-invasive acquisition of in-vivo blood flow, producing a patient-specific blood flow model in selected vascular structures, e.g. the ...
  • A New Vessel Enhancement Transform on Retinal Blood Vessels Segmentation 

    Soares, Ivo; Castelo-Branco, Miguel; Pinheiro, António M. G. (The Eurographics Association, 2018)
    The automatic detection of retinal blood vessels is a very important task in computer aided-diagnosis of retinal diseases. In this work a new method is proposed for the automated detection of the retinal vessels. Three new ...
  • Introducing CNN-Based Mouse Grim Scale Analysis for Fully Automated Image-Based Assessment of Distress in Laboratory Mice 

    Kopaczka, Marcin; Ernst, Lisa; Schock, Justus; Schneuing, Arne; Guth, Alexander; Tolba, Rene; Merhof, Dorit (The Eurographics Association, 2018)
    International standards require close monitoring of distress of animals undergoing laboratory experiments in order to minimize the stress level and allow choosing minimally stressful procedures for the experiments. Currently, ...
  • Uncertainty-Guided Semi-Automated Editing of CNN-based Retinal Layer Segmentations in Optical Coherence Tomography 

    Zadeh, Shekoufeh Gorgi; Wintergerst, Maximilian W. M.; Schultz, Thomas (The Eurographics Association, 2018)
    Convolutional neural networks (CNNs) have enabled dramatic improvements in the accuracy of automated medical image segmentation. Despite this, in many cases, results are still not reliable enough to be trusted ''blindly''. ...
  • Visual Analysis of Evolution of EEG Coherence Networks employing Temporal Multidimensional Scaling 

    Ji, Chengtao; Maurits, Natasha M.; Roerdink, Jos B. T. M. (The Eurographics Association, 2018)
    The community structure of networks plays an important role in their analysis. It represents a high-level organization of objects within a network. However, in many application domains, the relationship between objects in ...
  • Progressive and Efficient Multi-Resolution Representations for Brain Tractograms 

    Mercier, Corentin; Gori, Pietro; Rohmer, Damien; Cani, Marie-Paule; Boubekeur, Tamy; Thiery, Jean-Marc; Bloch, Isabelle (The Eurographics Association, 2018)
    Current tractography methods generate tractograms composed of millions of 3D polylines, called fibers, making visualization and interpretation extremely challenging, thus complexifying the use of this technique in a clinical ...
  • Iterative Exploration of Big Brain Network Data 

    Ganglberger, Florian; Swoboda, Nicolas; Frauenstein, Lisa; Kaczanowska, Joanna; Haubensak, Wulf; Bühler, Katja (The Eurographics Association, 2018)
    A current quest in neurscience is the understanding of how genes, structure and behavior relate to one another. In recent years, big brain-initiatives and consortia have created vast resources of publicly available brain ...
  • A Multilinear Model for Bidirectional Craniofacial Reconstruction 

    Achenbach, Jascha; Brylka, Robert; Gietzen, Thomas; Hebel, Katja zum; Schömer, Elmar; Schulze, Ralf; Botsch, Mario; Schwanecke, Ulrich (The Eurographics Association, 2018)
    We present a bidirectional facial reconstruction method for estimating the skull given a scan of the skin surface and vice versa estimating the skin surface given the skull. Our approach is based on a multilinear model ...
  • Annotated Dendrograms for Neurons From the Larval Fruit Fly Brain 

    Strauch, Martin; Hartenstein, Volker; Andrade, Ingrid V.; Cardona, Albert; Merhof, Dorit (The Eurographics Association, 2018)
    Recent advances in neuroscience have made it possible to reconstruct all neurons of an entire neural circuit in the larval fruit fly brain from serial electron microscopy image stacks. The reconstructed neurons are ...
  • A Critical Analysis of the Evaluation Practice in Medical Visualization 

    Preim, Bernhard; Ropinski, Timo; Isenberg, Petra (The Eurographics Association, 2018)
    Medical visualization aims at directly supporting physicians in diagnosis and treatment planning, students and residents in medical education, and medical physicists as well as other medical researchers in answering specific ...
  • Automatic Generation of Web-Based User Studies to Evaluate Depth Perception in Vascular Surface Visualizations 

    Meuschke, Monique; Smit, Noeska N.; Lichtenberg, Nils; Preim, Bernhard; Lawonn, Kai (The Eurographics Association, 2018)
    User studies are often required in biomedical visualization application papers in order to provide evidence for the utility of the presented approach. An important aspect is how well depth information can be perceived, as ...

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